Handling of Voluminous Tweets and Analyzing the Sentiment of Tweets
S. Siva Parvathy, M. Bhuvaneswari · 2019
Nowadays, Social Media is used as a medium to express the views of the people about the recent trends, or issues. This results in generating large amount of days everyday. These data's need to be handled in more efficient manner to analyse the ambiguous. These real time streaming of data are to be stored and processed efficiently for further analysis and decision by using big data tools. Twitter is used as data source and sentimental analysis is performed over the tweets. In addition, big data tools such as Flume, Kafka, Hdfs, Hbase and Solr were used for effective handling of tweets.